Urban GIS and charging station data
Dataset consists of various open GIS data from the Netherlands as Population Cores, Neighbhourhoods, Land Use, Neighbourhoods, Energy Atlas, OpenStreetMaps, openchargemap and charging stations. The data was transformed for buffers with 350m around each charging stations. The response variable is bin...
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| creator | Straka, Milan Buzna, Lubos van der Poel, Gijs |
| description | Dataset consists of various open GIS data from the Netherlands as Population Cores, Neighbhourhoods, Land Use, Neighbourhoods, Energy Atlas, OpenStreetMaps, openchargemap and charging stations. The data was transformed for buffers with 350m around each charging stations. The response variable is binary popularity of a charging pool. |
| doi_str_mv | 10.21227/gfes-gm78 |
| format | Dataset |
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The data was transformed for buffers with 350m around each charging stations. The response variable is binary popularity of a charging pool.</description><identifier>DOI: 10.21227/gfes-gm78</identifier><language>eng</language><publisher>IEEE DataPort</publisher><subject>charging stations ; Electric Vehicles ; Energy ; Geographical coordinates ; GIS ; Machine Learning ; POI ; Power and Energy ; Ratings ; Social Sciences ; Transportation</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-8558-0408 ; 0000-0002-5410-6762</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1892</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.21227/gfes-gm78$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Straka, Milan</creatorcontrib><creatorcontrib>Buzna, Lubos</creatorcontrib><creatorcontrib>van der Poel, Gijs</creatorcontrib><title>Urban GIS and charging station data</title><description>Dataset consists of various open GIS data from the Netherlands as Population Cores, Neighbhourhoods, Land Use, Neighbourhoods, Energy Atlas, OpenStreetMaps, openchargemap and charging stations. The data was transformed for buffers with 350m around each charging stations. The response variable is binary popularity of a charging pool.</description><subject>charging stations</subject><subject>Electric Vehicles</subject><subject>Energy</subject><subject>Geographical coordinates</subject><subject>GIS</subject><subject>Machine Learning</subject><subject>POI</subject><subject>Power and Energy</subject><subject>Ratings</subject><subject>Social Sciences</subject><subject>Transportation</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2019</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYBAyNNAzMjQyMtdPT0st1k3PNbfgZFAOLUpKzFNw9wxWSMxLUUjOSCxKz8xLVyguSSzJzM9TSEksSeRhYE1LzClO5YXS3Axabq4hzh66IMnkzJLU-IKizNzEosp4Q4N4sA3xIBviQTYYk6QYALIvMp4</recordid><startdate>20191031</startdate><enddate>20191031</enddate><creator>Straka, Milan</creator><creator>Buzna, Lubos</creator><creator>van der Poel, Gijs</creator><general>IEEE DataPort</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0002-8558-0408</orcidid><orcidid>https://orcid.org/0000-0002-5410-6762</orcidid></search><sort><creationdate>20191031</creationdate><title>Urban GIS and charging station data</title><author>Straka, Milan ; Buzna, Lubos ; van der Poel, Gijs</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_21227_gfes_gm783</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2019</creationdate><topic>charging stations</topic><topic>Electric Vehicles</topic><topic>Energy</topic><topic>Geographical coordinates</topic><topic>GIS</topic><topic>Machine Learning</topic><topic>POI</topic><topic>Power and Energy</topic><topic>Ratings</topic><topic>Social Sciences</topic><topic>Transportation</topic><toplevel>online_resources</toplevel><creatorcontrib>Straka, Milan</creatorcontrib><creatorcontrib>Buzna, Lubos</creatorcontrib><creatorcontrib>van der Poel, Gijs</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Straka, Milan</au><au>Buzna, Lubos</au><au>van der Poel, Gijs</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Urban GIS and charging station data</title><date>2019-10-31</date><risdate>2019</risdate><abstract>Dataset consists of various open GIS data from the Netherlands as Population Cores, Neighbhourhoods, Land Use, Neighbourhoods, Energy Atlas, OpenStreetMaps, openchargemap and charging stations. The data was transformed for buffers with 350m around each charging stations. The response variable is binary popularity of a charging pool.</abstract><pub>IEEE DataPort</pub><doi>10.21227/gfes-gm78</doi><orcidid>https://orcid.org/0000-0002-8558-0408</orcidid><orcidid>https://orcid.org/0000-0002-5410-6762</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | DOI: 10.21227/gfes-gm78 |
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| language | eng |
| recordid | cdi_datacite_primary_10_21227_gfes_gm78 |
| source | DataCite |
| subjects | charging stations Electric Vehicles Energy Geographical coordinates GIS Machine Learning POI Power and Energy Ratings Social Sciences Transportation |
| title | Urban GIS and charging station data |
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